Comprehensive characterization of cytokines in patients under extracorporeal membrane oxygenation: Evidence from integrated bulk and single-cell RNA sequencing data using multiple machine learning approaches.

BACKGROUND: ECMO (extracorporeal membrane oxygenation) is an effective technique for providing short-term mechanical support to the heart, lungs, or both. During ECMO treatment, the inflammatory response, particularly involving cytokines, plays a crucial role in pathophysiology. However, the potential effects of cytokines on patients receiving ECMO are not comprehensively understood. METHODS: We acquired three ECMO support datasets, namely two bulk and one single-cell RNA sequencing (RNA-seq), from the GEO (Gene Expression Omnibus) combined with hospital cohorts to investigate the expression pattern and potential biological processes of cytokine-related genes (CRGs) in patients under ECMO. Subsequently, machine learning approaches, including support vector machine (SVM), random forest (RF), modified Lasso penalized regression, extreme gradient boosting (XGBoost), and artificial neural network (ANN), were applied to identify hub CRGs, thus developing a prediction model called CRG classifier. The predictive and prognostic performance of the model was comprehensively evaluated in GEO and hospital cohorts. Finally, we mechanistically analyzed the relationship between hub cytokines, immune cells, and pivotal molecular pathways. RESULTS: Analyzing bulk and single-cell RNA-seq data revealed that most CRGs were significantly differentially expressed, the enrichment scores of cytokine and cytokine cytokine receptor (CCR) interaction were significantly higher during ECMO. Based on multiple machine learning algorithms, nine key CRGs (CCL2, CCL4, IFNG, IL1R2, IL20RB, IL31RA, IL4, IL7, and IL7R) were used to develop the CRG classifier. The CRG classifier exhibited excellent prognostic values (AUC > 0.85), serving as an independent risk factor. It performed better in predicting mortality and yielded a larger net benefit than other clinical features in GEO and hospital cohorts. Additionally, IL1R2, CCL4, and IL7R were predominantly expressed in monocytes, NK cells, and T cells, respectively. Their expression was significantly positively correlated with the relative abundance of corresponding immune cells. Gene set variation analysis (GSVA) revealed that parainflammation, complement and coagulation cascades, and IL6/JAK/STAT3 signaling were significantly enriched in the subgroup that died after receiving ECMO. Spearman correlation analyses and Mantel tests revealed that the expression of hub cytokines (IL1R2, CCL4, and IL7R) and pivotal molecular pathways scores (complement and coagulation cascades, IL6/JAK/STAT3 signaling, and parainflammation) were closely related. CONCLUSION: A predictive model (CRG classifier) comprising nine CRGs based on multiple machine learning algorithms was constructed, potentially assisting clinicians in guiding individualized ECMO treatment. Additionally, elucidating the underlying mechanistic pathways of cytokines during ECMO will provide new insights into its treatment.

Prognostic value of red blood cell distribution width-to-albumin ratio in ICU patients with coronary heart disease and diabetes mellitus.

Background: The red blood cell distribution width (RDW)-to-albumin ratio (RAR) has emerged as a potentially valuable prognostic indicator in diverse medical conditions. However, the prognostic significance of RAR in intensive care unit (ICU) patients with coronary heart disease (CHD) and diabetes mellitus (DM) remains uncertain and requires further investigation. Methods: This study aims to investigate the prognostic significance of RAR in ICU patients with coexisting CHD and DM through a retrospective cohort analysis using data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database (version 2.2). The study population included patients aged 18 years or older who were diagnosed with both CHD and DM. The primary endpoint was 1-year mortality, and the secondary endpoints included 30-day mortality, 90-day mortality, hospital length of stay (LOS), and ICU LOS. Results: A total of 3416 patients, of whom 64.64% were male, were included in the study. The 30-day mortality, 90-day mortality, and 1-year mortality were 7.08%, 7.44%, and 7.49%, respectively. After adjusting for confounding factors, multivariate Cox proportional risk analysis demonstrated that high RAR levels were associated with an increased risk of 30-day mortality (HR, 1.53 [95% CI 1.17-2.07], P = 0.006), 90-day mortality (HR, 1.58 [95% CI 1.17-2.13], P = 0.003), and 1-year mortality (HR, 1.58 [95% CI 1.17-2.13], P = 0.003). Furthermore, the restricted cubic spline (RCS) model indicated a linear relationship between RAR and 1-year mortality. Conclusion: The results suggest that RAR holds potential as a valuable prognostic biomarker in ICU patients with both CHD and DM. Elevated RAR levels were found to be significantly associated with increased mortality during hospitalization, facilitating the identification of individuals at higher risk of adverse outcomes. These findings underscore the importance of incorporating RAR into risk stratification and overall management strategies for ICU patients with coexisting CHD and DM.

Extracorporeal Membrane Oxygenation in Severe Acute Respiratory Distress Syndrome Caused by Chlamydia abortus: A Case Report.

Background: Pneumonia infected by Chlamydia abortus (C. abortus) is rare, especially complicated with severe acute respiratory distress syndrome (ARDS) and multiple organ dysfunction syndrome (MODS). Case Presentation: We presented the clinical details of a 44-year-old male who was diagnosed with C. abortus pneumonia, which rapidly progressed and ultimately led to ARDS, sepsis and MODS. Although he was initially diagnosed with pneumonia upon admission, no pathogenic bacteria were detected in sputum by conventional tests. Empirical intravenous infusion of meropenem and moxifloxacin was administered, but unfortunately, his condition deteriorated rapidly, especially respiratory status. On Day 2 after extracorporeal membrane oxygenation (ECMO) initiation, metagenomic next-generation sequencing (mNGS) was performed on the patient's bronchoalveolar lavage fluid, which indicated an infection with C. abortus. The patient's antimicrobial therapy was adjusted to oral doxycycline (0.1g every 12h), intravenous azithromycin (0.5g every day), and imipenem and cilastatin sodium (1g every 6h). The patient's condition improved clinically and biologically. However, the patient was discharged due to financial reasons and unfortunately passed away eight hours later. Conclusion: Infections with C. abortus can result in severe ARDS and serious visceral complications which necessitate prompt diagnosis and active intervention by clinicians. The case highlights the significance of mNGS as an essential diagnostic tool for uncommon pathogens. Tetracyclines, macrolides or their combinations are effective choices for treatment of C. abortus pneumonia. Further study is needed to explore the transmission routes of C. abortus pneumonia and establish precise guidelines for antibiotic treatment.

Construction of Autophagy-Related Gene Classifier for Early Diagnosis, Prognosis and Predicting Immune Microenvironment Features in Sepsis by Machine Learning Algorithms.

Background: The immune system plays a fundamental role in the pathophysiology of sepsis, and autophagy and autophagy-related molecules are crucial in innate and adaptive immune responses; however, the potential roles of autophagy-related genes (ARGs) in sepsis are not comprehensively understood. Methods: A systematic search was conducted in ArrayExpress and Gene Expression Omnibus (GEO) cohorts from July 2005 to May 2022. Machine learning approaches, including modified Lasso penalized regression, support vector machine, and artificial neural network, were applied to identify hub ARGs, thereby developing a prediction model termed ARG classifier. Diagnostic and prognostic performance of the model was comprehensively analyzed using multi-transcriptome data. Subsequently, we systematically correlated the ARG classifier/hub ARGs with immunological characteristics of multiple aspects, including immune cell infiltration, immune and molecular pathways, cytokine levels, and immune-related genes. Further, we collected clinical specimens to preliminarily investigate ARG expression levels and to assess the diagnostic performance of ARG classifier. Results: A total of ten GEO and three ArrayExpress datasets were included in this study. Based on machine learning algorithms, eight key ARGs (ATG4C, BAX, BIRC5, ERBB2, FKBP1B, HIF1A, NCKAP1, and NFKB1) were integrated to establish ARG classifier. The model exhibited excellent diagnostic values (AUC > 0.85) in multiple datasets and multiple points in time and superiorly distinguished sepsis from other critical illnesses. ARG classifier showed significant correlations with clinical characteristics or endotypes and performed better in predicting mortality (AUC = 0.70) than other clinical characteristics. Additionally, the identified hub ARGs were significantly associated with immune cell infiltration (B, T, NK, dendritic, T regulatory, and myeloid-derived suppressor cells), immune and molecular pathways (inflammation-promoting pathways, HLA, cytolytic activity, apoptosis, type-II IFN response, complement and coagulation cascades), levels of several cytokines (PDGFRB, IL-10, IFNG, and TNF), which indicated that ARG classifier/hub ARGs adequately reflected the immune microenvironment during sepsis. Finally, using clinical specimens, the expression levels of key ARGs in patients with sepsis were found to differ significantly from those of control patients, and ARG classifier exhibited superior diagnostic performance, compared to procalcitonin and C-reactive protein. Conclusion: Collectively, a diagnostic and prognostic model (ARG classifier) based on eight ARGs was developed which may assist clinicians in diagnosis of sepsis and recognizing patient at high risk to guide personalized treatment. Additionally, the ARG classifier effectively reflected the immune microenvironment diversity of sepsis and may facilitate personalized counseling for specific therapy.

Comprehensive characterization of costimulatory molecule gene for diagnosis, prognosis and recognition of immune microenvironment features in sepsis.

The present study, which involved 10 GEO datasets and 3 ArrayExpress datasets, comprehensively characterized the potential effects of CMGs in sepsis. Based on machine learning algorithms (Lasso, SVM and ANN), the CMG classifier was constructed by integrating 6 hub CMGs (CD28, CD40, LTB, TMIGD2, TNFRSF13C and TNFSF4). The CMG classifier exhibit excellent diagnostic values across multiple datasets and time points, and was able to distinguish sepsis from other critical diseases. The CMG classifier performed better in predicting mortality than other clinical characteristics or endotypes. More importantly, from clinical specimens, the CMG classifier showed more superior diagnostic values than PCT and CRP. Alternatively, the CMG classifier/hub CMGs is significantly correlated with immune cells infiltration (B cells, T cells, Tregs, and MDSC), pivotal immune and molecular pathways (inflammation-promoting, complement and coagulation cascades), and several cytokines. Collectively, CMG classifier was a robust tool for diagnosis, prognosis and recognition of immune microenvironment features in sepsis.

Construction of an HLA Classifier for Early Diagnosis, Prognosis, and Recognition of Immunosuppression in Sepsis by Multiple Transcriptome Datasets.

Background: Sepsis is a clinical syndrome, due to a dysregulated inflammatory response to infection. Accumulating evidence shows that human leukocyte antigen (HLA) genes play a key role in the immune responses to sepsis. Nevertheless, the effects of HLA genes in sepsis have still not been comprehensively understood. Methods: A systematical search was performed in the Gene Expression Omnibus (GEO) and ArrayExpress databases from inception to 10 September 2021. Random forest (RF) and modified Lasso penalized regression were conducted to identify hub genes in multi-transcriptome data, thus we constructed a prediction model, namely the HLA classifier. ArrayExpress databases, as external validation, were utilized to evaluate its diagnostic, prognostic, and predictive performance. Immune cell infiltration score was calculated via CIBERSORTx tools and single-sample gene set enrichment analysis (ssGSEA). Gene set variation analysis (GSVA) and ssGSEA were conducted to determine the pathways that are significantly enriched in different subgroups. Next, we systematically correlated the HLA classifier with immunological characteristics from multiple perspectives, such as immune-related cell infiltration, pivotal molecular pathways, and cytokine expression. Finally, quantitative real-time polymerase chain reaction (qRT-PCR) was conducted to validate the expression level of HLA genes in clinical samples. Results: A total of nine datasets comprising 1,251 patients were included. Based on RF and modified Lasso penalized regression in multi-transcriptome datasets, five HLA genes (B2M, HLA-DQA1, HLA-DPA1, TAP1, and TAP2) were identified as hub genes, which were used to construct an HLA classifier. In the discovery cohort, the HLA classifier exhibited superior diagnostic value (AUC = 0.997) and performed better in predicting mortality (AUC = 0.716) than clinical characteristics or endotypes. Encouragingly, similar results were observed in the ArrayExpress databases. In the E-MTAB-7581 dataset, the use of hydrocortisone in the HLA high-risk subgroup (OR: 2.84, 95% CI 1.07-7.57, p = 0.037) was associated with increased risk of mortality, but not in the HLA low-risk subgroup. Additionally, immune infiltration analysis by CIBERSORTx and ssGSEA revealed that B cells, activated dendritic cells, NK cells, T helper cells, and infiltrating lymphocytes (ILs) were significantly richer in HLA low-risk phenotypes, while Tregs and myeloid-derived suppressor cells (MDSCs) were more abundant in HLA high-risk phenotypes. The HLA classifier was significantly negatively correlated with B cells, activated dendritic cells, NK cells, T helper cells, and ILs, yet was significantly positively correlated with Tregs and MDSCs. Subsequently, molecular pathways analysis uncovered that cytokine-cytokine receptor (CCR) interaction, human leukocyte antigen (HLA), and antigen-presenting cell (APC) co-stimulation were significantly enriched in HLA low-risk endotypes, which was significantly negatively correlated with the HLA classifier in multi-transcriptome data. Finally, the expression levels of several cytokines (IL-10, IFNG, TNF) were significantly different between the HLA subgroups, and the ratio of IL-10/TNF was significantly positively correlated with HLA score in multi-transcriptome data. Results of qRT-PCR validated the higher expression level of B2M as well as lower expression level of HLA-DQA1, HLA-DPA1, TAP1, and TAP2 in sepsis samples compared to control sample. Conclusion: Based on five HLA genes, a diagnostic and prognostic model, namely the HLA classifier, was established, which is closely correlated with responses to hydrocortisone and immunosuppression status and might facilitate personalized counseling for specific therapy.

Weaning critically ill patients from mechanical ventilation: a protocol from a multicenter retrospective cohort study.

BACKGROUND: Mechanical ventilation (MV) is an important lifesaving method in intensive care unit (ICU). Prolonged MV is associated with ventilator associated pneumonia (VAP) and other complications. However, premature weaning from MV may lead to higher risk of reintubation or mortality. Therefore, timely and safe weaning from MV is important. In addition, identification of the right patient and performing a suitable weaning process is necessary. Although several guidelines about weaning have been reported, compliance with these guidelines is unknown. Therefore, the aim of this study is to explore the variation of weaning in China, associations between initial MV reason and clinical outcomes, and factors associated with weaning strategies using a multicenter cohort. METHODS: This multicenter retrospective cohort study will be conducted at 17 adult ICUs in China, that included patients who were admitted in this 17 ICUs between October 2020 and February 2021. Patients under 18 years of age and patients without the possibility for weaning will be excluded. The questionnaire information will be registered by a specific clinician in each center who has been evaluated and qualified to carry out the study. DISCUSSION: In a previous observational study of weaning in 17 ICUs in China, weaning practices varies nationally. Therefore, a multicenter retrospective cohort study is necessary to be conducted to explore the present weaning methods used in China. TRIAL REGISTRATION: Chinese Clinical Trial Registry (ChiCTR) (No. ChiCTR2100044634).

Characterization of immune-related genes andimmune infiltration features for early diagnosis, prognosis and recognition of immunosuppression in sepsis.

Among the body systems, the immune system plays a fundamental role in the pathophysiology of sepsis. The effects of immunogenomic and immune cell infiltration in sepsis were still not been systematically understood. Based on modified Lasso penalized regression and RF, 8 DEIRGs (ADM, CX3CR1, DEFA4, HLA-DPA1, MAPK14, ORM1, RETN, and SLPI) were combined to construct an IRG classifier. In the discovery cohort, IRG classifier exhibited superior diagnostic efficacy and performed better in predicting mortality than clinical characteristics or MARS/SRS endotypes. Encouragingly, similar results were observed in the ArrayExpress databases. The use of hydrocortisone in IRG high-risk subgroup was associated with increased risk of mortality. In IRG low-risk phenotypes, NK cells, T helper cells, and infiltrating lymphocyte (IL) are significantly richer, while T cells regulatory (Tregs) and myeloid-derived suppressor cells (MDSC) are more abundant in IRG high-risk phenotypes. IRG score were significantly negatively correlated with Cytokine cytokine receptor interaction (CCR) and human leukocyte antigen (HLA). Between the IRG subgroups, the expression levels of several cytokines (IL-10, IFNG, TNF) were significantly different, and IRG score was significantly positively correlated with ratio of IL-10/TNF. Results of qRT-PCR validated that higher expression level of ADM, DEFA4, MAPK14, ORM1, RETN, and SLPI as well as lower expression level of CX3CR1 and HLA-DPA1 in sepsis samples compared to control sample. A diagnostic and prognostic model, namely IRG classifier, was established based on 8 IRGs that is closely correlated with responses to hydrocortisone and immunosuppression status and might facilitate personalized counseling for specific therapy.

The YAP/SERCA2a signaling pathway protects cardiomyocytes against reperfusion-induced apoptosis.

Mitochondria and the endoplasmic reticulum (ER) are known to promote cardiac ischemia/reperfusion (I/R) injury. Overexpression of yes-associated protein (YAP) and/or sarcoplasmic reticulum calcium ATPase 2a (SERCA2a) has been shown to protect cardiomyocytes against I/R-induced injury. Here, we show that activation of the YAP/SERCA2a pathway attenuated mitochondrial damage and ER stress (ERS) to maintain cardiomyocyte viability in the setting of I/R injury. Our results demonstrate that I/R treatment reduced the transcription and expression of YAP and SERCA2a, along with a decline in cardiomyocyte viability. The overexpression of YAP promoted SERCA2a transcription, whereas SERCA2a upregulation did not affect the YAP transcription, suggesting that YAP functions upstream of SERCA2a. Activation of the YAP/SERCA2a pathway suppressed mitochondrial damage by sustaining the mitochondrial redox balance and restoring mitochondrial bioenergetics. Additionally, its activation repressed ERS, reduced calcium overload, and eventually blocked caspase activation. The knockdown of SERCA2a suppressed the protective effects of YAP overexpression on mitochondrial damage and ERS. Overall, our findings reveal that the YAP/SERCA2a pathway attenuates the mitochondrial damage and ERS in response to cardiac I/R injury by regulating the mitochondria-ER communication.

Efficacy and safety of haloperidol for delirium prevention in adult patients: An updated meta-analysis with trial sequential analysis of randomized controlled trials.

STUDY OBJECTIVE: To identify the efficacy and safety of haloperidol prophylaxis in adult patients with a high risk for delirium. DESIGN: A meta-analysis with trial sequential analysis of randomized controlled trials. INTERVENTION: A comprehensive search was performed in PubMed, the ISI Web of Knowledge, the Cochrane Library, and Embase databases from inception through to March 2019.Citation screening, data abstraction and quality assessment were performed in duplicate. Meta-analysis with trial sequential analysis (TSA) were used to assess the primary and secondary outcomes. In addition, we used the Grading of Recommendations Assessment Development and Evaluation (GRADE) to evaluate the certainty of the body of evidence. MAIN RESULTS: We appraised 8 RCTs involving 3034 patients that that were in compliance with inclusion and exclusion criterion. Pooled analyses indicated patients receiving haloperidol prophylaxis and placebo or normal saline did not significantly differ in incidence of delirium (relative risk [RR] = 0.90, 95% confidence interval [CI] = 0.70 to 1.15), with TSA inconclusive. Notably, compared with the control group, use of haloperidol significantly decreased the duration of delirium (Mean difference [MD] -0.94; 95% CI -1.82 to -0.06 days), with a marked heterogeneity. Additionally, haloperidol prophylaxis does not significantly affect duration of mechanical ventilation, length of intensive care unit (ICU) stay, length of hospital stay and mortality. In terms of safety profiles, haloperidol was not associated with increased risk for QTc prolongation, extrapyramidal symptoms, or adverse events. GRADE indicated the level of evidence was very low for a benefit from haloperidol prophylaxis. CONCLUSIONS: The results of our meta-analysis suggested the use of prophylactic haloperidol compared with placebo had no beneficial impacts on incidence of delirium, duration of mechanical ventilation, length of intensive care unit (ICU) stay, length of hospital stay and mortality in adult patients. It appeared to have a positive effect on duration of delirium, while with a significant heterogeneity. These findings do not support the routine usage of haloperidol for delirium prevention. TRIAL REGISTRATION: PROSPERO registration number: CRD42018100511. Registered on 17 July 2018.

Higher vs. Lower DP for Ventilated Patients with Acute Respiratory Distress Syndrome: A Systematic Review and Meta-Analysis.

OBJECTIVES: Driving pressure (DP) has recently become a promising mediator for the identification of the effects of mechanical ventilation on outcomes in acute respiratory distress syndrome (ARDS). The aim of this study was to systematically and quantitatively update and assess the association between DP and mortality among ventilated patients with ARDS. METHODS: PubMed, the Cochrane Library, ISI Web of Knowledge, and Embase were systematically searched from inception to June 2018. Two investigators conducted the literature search study selection, data extraction, and quality evaluation independently. RevMan 5.3 software was used for all statistical analyses. RESULTS: A total of seven studies comprising 8010 patients were included in this meta-analysis. Higher DP showed a significant association with higher mortality (pooled risk ratio, 1.10; 95% [CI], 1.05-1.16; I 2 =58%). Sensitivity analysis indicated that one study significantly affected the stability of pooled results. One of the subgroups investigated, ARDS severity, could account for the heterogeneity. An exploratory post hoc subgroup analysis and higher DP significantly increased mortality in the mild to severe ARDS subgroup (RR 1.28; 95% [CI], 1.14-1.43; I 2 =0), but not in the moderate to severe ARDS subgroup (RR 1.18; 95% [CI], 0.95-1.46; I 2 =52%). CONCLUSION: Higher DP was significantly associated with an increased risk of death among ventilated patients with ARDS. But it did not seem to predict prognosis to moderate to severe ARDS. Future prospective randomized clinical trials are needed to verify the results of this meta-analysis and address the unresolved questions about optimum cutoff values for DP. TRIAL REGISTRATION: This trial is registered with PROSPERO (CRD42018102146), on 11 August 2018.

Clinical Efficacy of Extracorporeal Cardiopulmonary Resuscitation for Adults with Cardiac Arrest: Meta-Analysis with Trial Sequential Analysis.

OBJECTIVE: This meta-analysis with trial sequential analysis (TSA) compared the clinical efficacy of extracorporeal cardiopulmonary resuscitation (ECPR) with conventional CPR (CCPR) for adult patients who experienced in-hospital cardiac arrest (IHCA) or out-of-hospital CA (OHCA). METHODS: A literature search was used to identify eligible publications (up to 30 July 2018) from PubMed, the Cochrane Library, the ISI Web of Knowledge, and Embase. Two investigators independently conducted the literature search, study selection, data extraction, and quality evaluation. Meta-analysis and TSA were used to analyze each outcome, and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) was used to evaluate the level of evidence. The primary outcome was 30-day survival, and the secondary outcomes were 30-day neurologic outcome, 3-6 months' survival, 3-6 months' neurological outcome, 1-year survival, and 1-year neurological outcome. RESULTS: We identified 13 eligible observational studies for the final analysis. Pooled analyses showed that ECPR was associated with a significantly better 30-day survival (RR = 1.60, 95% CI = 1.25-2.06) and 30-day neurologic outcome (RR = 2.69, 95% CI = 1.63-4.46), and TSA confirmed these results. However, subgroup analysis of patients with OHCA indicated that ECPR and CCPR had similar effects on 30-day survival (RR = 1.18, 95% CI = 0.71-1.97), which was not confirmed by TSA. Analysis of OHCA patients indicated that ECPR provided a better 30-day neurological outcome (RR = 3.93, 95% CI = 1.00-15.50), but TSA did not support these results. Analysis of IHCA patients indicated that ECPR was associated with a better 30-day survival (RR 1.90, 95% CI 1.43-2.52) and 30-day neurologic outcome (RR 2.02, 95% CI 1.21-3.39), and TSA supported these results. Other subgroup analyses showed that the results were generally consistent, regardless of nation, propensity score matching, presumed etiology, whether the CA was witnessed or not, and study quality. CONCLUSIONS: Relative to CCPR, ECPR improved the survival and neurological outcome of patients who had IHCA. Compared to IHCA patients, TSA could not confirm better survival and neurologic outcome of ECPR in OHCA patients, suggesting that further studies are needed. TRIAL REGISTRATION: This trial was registered with PROSPERO (CRD42018100513) on 17 July 2018.

Combined usage of extracorporeal membrane oxygenation and double filtration plasmapheresis in amyopathic dermatomyositis patient with severe interstitial lung disease: A case report.

RATIONALE: We report a man with amyopathic dermatomyositis (ADM) complicated by severe interstitial lung disease (ILD) received extracorporeal membrane oxygenation (ECMO) in combination with double filtration plasmapheresis (DFPP). This is the first report of the utility of ECMO in combination with DFPP in ADM related ILD in adults. PATIENT CONCERNS: A 48-year-old man who was previously healthy had a 2-month history of cough and shortness of breath, which aggravated in 5 days. DIAGNOSES: Amyopathic dermatomyositis and complicated by severe interstitial lung disease. INTERVENTIONS: ECMO was giving when the patient suffered acute respiratory failure. Though corticosteroids was giving, primary disease was still developing with relapses of spontaneous pneumomediastinum and pneumothorax. Then, DFPP treatment was initiated. OUTCOME: After the treatments above, the patient's clinical condition improved with the reduction of bilateral interstitial infiltrates and improvement of lung compliance. Unfortunately, he discontinued the treatment because of the financial problem. LESSONS: When get a rapid progressive interstitial lung disease for no apparent reason, amyopathic dermatomyositis should be considered, especially with suspected skin lesions. ECMO, in combination with DFPP, should be considered as a supportive therapy and initiated early in patients in acute respiratory failure secondary to ADM-ILD. Prompt initiation of DFPP in dermatomyositis patients with ILD might help reduce the occurrence of spontaneous pneumomediastinum or pneumothorax.

[Sepsis-induced cardiomyopathy complicated with cardiogenic shock patients supported with extracorporeal membrane oxygenation].

OBJECTIVE: Sepsis-induced cardiomyopathy is a reversible myocardial dysfunction due to sepsis, which may be severe enough to complicate cardiogenic shock, and without effective drug and with high mortality during the acute phase. A case of sepsis-induced cardiomyopathy complicated with cardiogenic shock was treated in the intensive care unit (ICU) of Shunde Hospital Southern Medical University. A 37 years old female patient was admitted because she had suffered repeated fever for 5 days, chest tightness and abdominal pain for 3 days. At the same time, there were severe cardiac depression and abdominal infection, which could be explained by the monismtheory of sepsis cardiomyopathy.The cardiogenic shock patient was not improved after antibiotic therapy and hemodynamic support, extracorporeal membrane oxygenation (ECMO) support was prescribed. The circulation failure was smoothly got through with ECMO and was transfer from ICU to ordinary ward. Computed tomographic angiography (CTA) of abdominal aorta and colonoscopy indicated lesions of small intestine. The diagnosis of infection and bleeding in ileum diverticulum was confirmed during the operation and the lesions was removed. She recovered and was discharged 1 week after operation. Through the case review, we aim to improve the awareness of sepsis-induced cardiomyopathy and the value of ECMO support in cardiogenic shock.

Effect of a 1-Piece Drainable Pouch on Incontinence-Associated Dermatitis in Intensive Care Unit Patients With Fecal Incontinence: A Comparison Cohort Study.

PURPOSE: The purpose of this study was to compare the effect of a 1-piece drainable pouch to standard care on occurrences of incontinence-associated dermatitis (IAD) in intensive care unit (ICU) patients with fecal incontinence (FI). DESIGN: Nonrandomized comparison cohort (quasi-experimental) study. METHODS: Sixty-two bedridden patients with FI and indwelling urinary catheters in the ICU of the Shunde Hospital, Southern Medical University, Foshan, China, participated in the study. Thirty-one were assigned to the control group (standard IAD preventive care alone) and 31 to the intervention group (standard IAD preventive care plus application of a 1-piece drainable pouch). Stool consistency was evaluated via the Bristol Stool Scale. Trained nurses assessed the status of IAD using the Incontinence-Associated Dermatitis Intervention Tool. The incidence of IAD and the perianal skin status were investigated over a 7-day period. RESULTS: Participants in the experimental group had fewer IAD occurrences than participants in the control group (12.9% vs 41.9%, P < .05). Occurrences of IAD in the perianal were also significantly lower in the experimental group than in the control group (χ = 7.884, P < .05). CONCLUSION: Applying a 1-piece drainable pouch may reduce occurrences of IAD in ICU patients with FI compared with the patients receiving standard IAD preventive care.

Effectiveness of prolonged clopidogrel-based dual antiplatelet therapy after drug-eluting stent implantation: Evidence-based meta-analysis.

The use of drug-eluting stents (DESs) for patients with coronary artery disease is widespread. DESs have been associated with a lower rate of repeat revascularization, death, and myocardial infarction compared with bare metal stents. However, DESs can lead to a prothrombotic environment in the coronary arteries, resulting in a higher rate of thrombotic events. To counteract this, dual-antiplatelet therapy (DAPT) consisting of aspirin and clopidogrel is recommended. Currently, there are no clear guidelines on the duration of DAPT. We therefore conducted a meta-analysis to assess the effectiveness of prolonged DAPT after DES implantation.

[Septic pulmonary embolism in intravenous drug users].

OBJECTIVE: To analyze the characteristics of septic pulmonary embolism (SPE) in intravenous drug users. METHODS: The clinical manifestations, radiographic findings, bacteriology, echocardiography and outcome of intravenous drug users were analyzed retrospectively. RESULTS: Twenty-two patients were identified with SPE between January of 1994 and December of 2006. Presenting symptoms included fever (22/22), dyspnea (20/22), pleuritic chest pain (10/22), cough (18/22), and hemoptysis (8/22). Chest radiographic features included nodular (15/22) and focal (12/22) infiltrates, wedge-shaped lesions (5/22), cysts (18/22), cavities (11/22), and pleural lesions (11/22). Peripheral or subpleural zones were most commonly affected (20/22). CT was more helpful and revealed multiple air cysts or nodules peripherally, often with cavitation. Staphylococcus aureus was the aetiological pathogen in all patients. Tricuspid valve vegetations were detected in all patients. Aside from antimicrobial therapy, the management included mechanical ventilation, control of shock and tube thoracostomy. Most patients recovered from their illness. CONCLUSIONS: SPE manifests with variable and often nonspecific clinical and radiographic features. The diagnosis is usually suggested by the presence of a predisposing factor, fever, and radiographic findings of multiple, peripheral or subpleural air cysts, or nodules with or without caritation. With early diagnosis, appropriate antimicrobial therapy, and control of the infectious source, resolution of the illness can be expected for most patients.

[Transbronchial needle aspiration in diagnosing mediastinal and hilar tuberculous lymphadenopathy].

OBJECTIVE: To study the application of transbronchial needle aspiration(TBNA) in the diagnosis of mediastinal and hilar tuberculous lymphadenopathy. METHODS: Brochoscopic examination was carried out in 24 patients with computed tomography confirmed mediastinal and hilar lymphadenopathy, but without signs of lung or airway tuberculosis. TBNA was performed and at least two prominent lesions were biopsied. Cytological needle aspiration was done for all diseased sites, while some lesions were also sampled by histological needles. RESULTS: Pathologic diagnosis was made in 18 patients showing tissue necrosis and granuloma, cases being acid fast positive. There were no serious complications. CONCLUSION: TBNA is a useful and convenient technique in the diagnosis of mediastinal and hilar tuberculous lymphadenopathy.