Sarcopenia and treatment failure in inflammatory bowel disease: a systematic review and meta-analysis.

BACKGROUND: The association between sarcopenia and treatment outcomes in inflammatory bowel disease (IBD) is currently a subject of controversy. METHODS: A systematic search was performed of PubMed, Embase, Web of Science, and the Cochrane Library for studies published until April 2023. The quality assessment of each included study was performed using the Newcastle-Ottawa Scale. RESULTS: Seventeen studies were included with 2,895 IBD patients. Sarcopenia exhibited an increased risk of treatment failure (OR=2.00, 95% CI: 1.43-2.79) and notably increased the need for surgery (OR=1.54,95%CI:1.06-2.23) as opposed to a pharmacologic treatment plan change (OR=1.19, 95% CI:0.71-2.01) among IBD patients. However, no significant association was found between sarcopenia and treatment failure in corticosteroid (OR=1.21, 95% CI: 0.55-2.64) or biologic agent (OR=1.65, 95% CI: 0.93-2.92) cohorts. Sarcopenia was also linked to elevated treatment failure risks in patients with Crohn's disease (OR=1.82, 95% CI: 1.15-2.90) and those diagnosed with ulcerative colitis (OR=2.55, 95% CI: 1.05-6.21), spanning both Asian (OR=1.88, 95% CI: 1.29-2.74) and non-Asian regions (OR=2.17, 95% CI: 1.48-3.18). CONCLUSIONS: Sarcopenia was considered a novel marker for use in clinical practice to predict treatment failure, specifically, the need for surgery in IBD patients. This distinct cohort necessitates clinical attention and tailored care strategies.

Novel Machine Learning Identifies 5 Asthma Phenotypes Using Cluster Analysis of Real-World Data.

BACKGROUND: Asthma classification into different subphenotypes is important to guide personalized therapy and improve outcomes. OBJECTIVES: To further explore asthma heterogeneity through determination of multiple patient groups by using novel machine learning (ML) approaches and large-scale real-world data. METHODS: We used electronic health records of patients with asthma followed at the Cleveland Clinic between 2010 and 2021. We used k-prototype unsupervised ML to develop a clustering model where predictors were age, sex, race, body mass index, prebronchodilator and postbronchodilator spirometry measurements, and the usage of inhaled/systemic steroids. We applied elbow and silhouette plots to select the optimal number of clusters. These clusters were then evaluated through LightGBM's supervised ML approach on their cross-validated F1 score to support their distinctiveness. RESULTS: Data from 13,498 patients with asthma with available postbronchodilator spirometry measurements were extracted to identify 5 stable clusters. Cluster 1 included a young nonsevere asthma population with normal lung function and higher frequency of acute exacerbation (0.8 /patient-year). Cluster 2 had the highest body mass index (mean ± SD, 44.44 ± 7.83 kg/m2), and the highest proportion of females (77.5%) and Blacks (28.9%). Cluster 3 comprised patients with normal lung function. Cluster 4 included patients with lower percent of predicted FEV1 of 77.03 (12.79) and poor response to bronchodilators. Cluster 5 had the lowest percent of predicted FEV1 of 68.08 (15.02), the highest postbronchodilator reversibility, and the highest proportion of severe asthma (44.9%) and blood eosinophilia (>300 cells/µL) (34.8%). CONCLUSIONS: Using real-world data and unsupervised ML, we classified asthma into 5 clinically important subphenotypes where group-specific asthma treatment and management strategies can be designed and deployed.

SARS-CoV-2 vaccination may improve anxious, insomnia and depressive symptoms among Chinese population aged 18-75 years during the COVID-19 pandemic.

Previous studies have reported significant decreases in the incidence of mental health problems following SARS-CoV-2 vaccination. However, less relevant studies are published in China. We conducted a cross-sectional study involving Chinese adults aged 18-75 years with no known psychiatric diseases. The study used data from mental health of SARS-CoV-2 vaccinated and unvaccinated participants from May 2020 to July 2021.Three standardized scales, namely, the Generalized Anxiety Disorder-7 (GAD-7) for anxious symptoms, Patient Health Questionnaire-9 (PHQ-9) for depressive symptoms and Athens Insomnia Score-8 (AIS-8) for insomnia symptoms, as well as basic demographic questions were used. The hierarchical regression method was used for multivariate logistic regression analysis to explore the effects of SARS-CoV-2 vaccination on anxious, insomnia, and depressive symptoms. The results confirmed first that vaccinated participants experienced significantly lower anxious, insomnia, and depressive symptoms scores (P < 0.001) compared with unvaccinated participants. Second that vaccinated participants had a lower prevalence of anxious, insomnia, and depressive symptoms (P < 0.001). Third, after adjusting for potential confounders, we still observed a good correlation between vaccination and a reduced risk of anxious, insomnia, and depressive symptoms. The current study showed that SARS-CoV-2 vaccination may be helpful in improving anxious, insomnia, and depressive symptoms.

Vaccination for COVID-19: Is it important and what should you know about it?

An effective vaccine is considered the best method to achieve herd immunity. As of February 2021, 12 vaccines were in late-stage clinical trials worldwide, with many more in development. Of those, 8 have received emergency use authorization from at least one country's governing body. These vaccines use various platforms to deliver the vaccines, each with pros and cons. Published data show these vaccines are effective in preventing the severe symptoms associated with COVID-19 in adults with few side effects, but challenges remain with storage and delivery and treating virus variants.

A case of hypereosinophilic syndrome with STAT5b N642H mutation.

Hypereosinophilia is defined as persistent eosinophilia (>1.5 × 109/L). Hypereosinophilic syndrome (HES) is a term used to describe a group of disorders characterized by sustained hypereosinophilia associated with end-organ damage. Based on underlying molecular mechanism of eosinophilia, there are different subtypes of HES. Diagnosis of HES subtype can be challenging, especially in the absence of overt lymphoid/myeloid neoplasms or discernable secondary causes. Long-term outpatient follow-up with periodic complete blood count and repeated bone marrow biopsy may be needed to monitor disease activity. Somatic signal transducer and activation transcription 5b (STAT5b) N642H mutation was recently found to be associated with myeloid neoplasms with eosinophilia. We report a case of HES who presented with pulmonary embolism and acute eosinophilic pneumonia, found to have recurrent STAT5b N642H mutation by next-generation sequencing, suggesting possible underlying myeloid neoplasm.

Novel Machine Learning Can Predict Acute Asthma Exacerbation.

BACKGROUND: Asthma exacerbations result in significant health and economic burden, but are difficult to predict. RESEARCH QUESTION: Can machine learning (ML) models with large-scale outpatient data predict asthma exacerbations? STUDY DESIGN AND METHODS: We analyzed data extracted from electronic health records (EHRs) of asthma patients treated at the Cleveland Clinic from 2010 through 2018. Demographic information, comorbidities, laboratory values, and asthma medications were included as covariates. Three different models were built with logistic regression, random forests, and a gradient boosting decision tree to predict: (1) nonsevere asthma exacerbation requiring oral glucocorticoid burst, (2) ED visits, and (3) hospitalizations. RESULTS: Of 60,302 patients, 19,772 (32.8%) had at least one nonsevere exacerbation requiring oral glucocorticoid burst, 1,748 (2.9%) requiring and ED visit and 902 (1.5%) requiring hospitalization. Nonsevere exacerbation, ED visit, and hospitalization were predicted best by light gradient boosting machine, an algorithm used in ML to fit predictive analytic models, and had an area under the receiver operating characteristic curve of 0.71 (95% CI, 0.70-0.72), 0.88 (95% CI, 0.86-0.89), and 0.85 (95% CI, 0.82-0.88), respectively. Risk factors for all three outcomes included age, long-acting ß agonist, high-dose inhaled glucocorticoid, or chronic oral glucocorticoid therapy. In subgroup analysis of 9,448 patients with spirometry data, low FEV1 and FEV1 to FVC ratio were identified as top risk factors for asthma exacerbation, ED visits, and hospitalization. However, adding pulmonary function tests did not improve models' prediction performance. INTERPRETATION: Models built with an ML algorithm from real-world outpatient EHR data accurately predicted asthma exacerbation and can be incorporated into clinical decision tools to enhance outpatient care and to prevent adverse outcomes.

Recognition and management of respiratory co-infection and secondary bacterial pneumonia in patients with COVID-19.

In COVID-19, respiratory infection with SARS-CoV-2 plus another virus (viral co-infection) or with SARS-CoV-2 plus a bacterial pathogen (combined viral and bacterial pneumonia) has been described. Secondary bacterial pneumonia can follow the initial phase of viral respiratory infection or occur during the recovery phase. No obvious pattern or guidelines exist for viral co-infection, combined viral and bacterial pneumonia, or secondary bacterial pneumonia in COVID-19. Based on existing clinical data and experience with similar viruses such as influenza and SARS-CoV, the management approach in COVID-19 should, ideally, take into consideration the overall presentation and the trajectory of illness.

Steroids in COVID-19: An overview.

Most antiviral or immunomodulatory therapies investigated for use in patients with COVID-19 have failed to show any mortality benefit. Similar to the previous pandemics caused by respiratory viruses, the role and benefit of corticosteroids has been under debate in COVID-19-related pulmonary disease. In this consult, we discuss the evidence regarding the efficacy of corticosteroid use in hospitalized patients with COVID-19, including data from the first randomized controlled trial on this subject.

National Trends in Admission for Aspiration Pneumonia in the United States, 2002-2012.

RATIONALE: Aspiration pneumonia is a subset of pneumonias prevalent in elderly patients and patients with neurologic disorders. Researchers in previous studies mostly reported incidence and/or mortality rates based on regional data or in specific subgroups of patients. There is a paucity of nationwide data in the contemporary U.S. OBJECTIVES: To describe U.S. national trends in acute care hospital admission for aspiration pneumonia from 2002 to 2012. METHODS: We used the U.S. National (Nationwide) Inpatient Sample database to identify patients admitted with a primary diagnosis of aspiration pneumonia between 2002 and 2012. We estimated trends in the incidence, in-hospital mortality, length of stay, and total hospitalization cost for patients admitted for aspiration pneumonia and stratified on the basis of patient age (≥65 yr vs. <65 yr). Multivariable logistic regression analysis was used to identify independent predictors for in-hospital mortality. RESULTS: A total of 406,798 patients (weighted total, 1,741,517) admitted for aspiration pneumonia were included in this study. There were 84,200 (20.7%) patients younger than 65 years of age and 322,598 patients (79.3%) aged 65 years or older. From 2002 to 2012, the overall incidence of aspiration pneumonia decreased from 8.2 to 7.1 cases per 10,000 people, and in-hospital mortality decreased from 18.6 to 9.8%. For patients aged 65 years or older, the incidence decreased from 40.7 to 30.9 cases per 10,000 people, and the in-hospital mortality decreased from 20.7 to 11.3%. The median total hospitalization charges increased in both groups (age ≥65 yr, from $16,173 to $30,280; age <65 yr, from $17,517 to $30,526). In multivariable logistic analysis, patients aged 65 years or older or treatment in a nonteaching hospital were independent predictors of in-hospital mortality. CONCLUSIONS: The incidence and mortality of patients admitted to acute care hospitals for aspiration pneumonia decreased between 2002 and 2012 in the United States. This difference was more evident for elderly patients. However, the cost of hospitalization almost doubled. Being older than 65 years of age is an independent predictor of in-hospital mortality among patients admitted for aspiration pneumonia. Strategies to prevent aspiration pneumonia in the community should be implemented in the aging U.S.

Sarcopenia and treatment failure in inflammatory bowel disease: a systematic review and meta-analysis

Background: The association between sarcopenia and treatment outcomes in inflammatory bowel disease (IBD) is currently a subject of controversy. Methods: A systematic search was performed of PubMed, Embase, Web of Science, and the Cochrane Library for studies published until April 2023. The quality assessment of each included study was performed using the Newcastle-Ottawa Scale. Results: Seventeen studies were included with 2,895 IBD patients. Sarcopenia exhibited an increased risk of treatment failure (OR=2.00, 95% CI: 1.43-2.79) and notably increased the need for surgery (OR=1.54,95%CI:1.06-2.23) as opposed to a pharmacologic treatment plan change (OR=1.19, 95% CI:0.71-2.01) among IBD patients. However, no significant association was found between sarcopenia and treatment failure in corticosteroid (OR=1.21, 95% CI: 0.55-2.64) or biologic agent (OR=1.65, 95% CI: 0.93-2.92) cohorts. Sarcopenia was also linked to elevated treatment failure risks in patients with Crohn's disease (OR=1.82, 95% CI: 1.15-2.90) and those diagnosed with ulcerative colitis (OR=2.55, 95% CI: 1.05-6.21), spanning both Asian (OR=1.88, 95% CI: 1.29-2.74) and non-Asian regions (OR=2.17, 95% CI: 1.48-3.18). Conclusions: Sarcopenia was considered a novel marker for use in clinical practice to predict treatment failure, specifically, the need for surgery in IBD patients. This distinct cohort necessitates clinical attention and tailored care strategies (AU)