The relation between prescribing of different antibiotics and rates of mortality with sepsis in US adults

Population based cohort to examine association between geospatial antibiotic factors and urinary tract infection outcomes

INTRODUCTION

Urinary tract infections (UTIs) pose a significant health care burden. Outpatient antibiotic geospatial factors (eg, geographic prescribing and geographic resistance) may be associated with inpatient outcomes. This study examined the relationship between these factors, severe UTI, and hospitalization for severe UTI.

METHODS

The first cohort included hospitalized, female, Medicare beneficiaries, aged >50 years. The primary outcome was severe UTI (defined as CSS diagnosis code of 159 with an APR-DRG severity of illness code of 3 or 4). The association between geospatial first-line prescribing (FLP) and severe UTI was assessed. The second cohort examined the association between these geospatial FLP and risk of hospitalization with severe UTI. Multivariable regression was used to produce adjusted odds ratios and adjusted risk ratios.

RESULTS

In the first cohort (n = 14,474), low FLP was not associated with severe UTI (P = .87) in univariable analysis. In multivariable analysis, low FLP was associated with severe UTI was (aOR: 1.08 [95% CI 1.00, 1.16]). In the second cohort (n = 2,972,174), the admission rate was 47.0 and 49.8 per 10,000 (low FLP vs high FLP, respectively [P < .001]). The aRR for admission was 1.26 (95% CI 1.14, 1.39) in areas with low FLP.

CONCLUSIONS

This study suggests that geospatial antibiotic factors may influence inpatient outcomes in women aged >50 with UTI. Further research is needed to corroborate our findings.

Analysis of Multiple Causes of Death: A Review of Methods and Practices

BACKGROUND

Research and reporting of mortality indicators typically focus on a single underlying cause of death selected from multiple causes recorded on a death certificate. The need to incorporate the multiple causes in mortality statistics-reflecting increasing multimorbidity and complex causation patterns-is recognized internationally. This review aims to identify and appraise relevant analytical methods and practices related to multiple causes.

METHODS

We searched Medline, PubMed, Scopus, and Web of Science from their incept ion to December 2020 without language restrictions, supplemented by consultation with international experts. Eligible articles analyzed multiple causes of death from death certificates. The process identified 4,080 items of which we reviewed 434 full-text articles.

RESULTS

Most articles we reviewed (76%, n = 332) were published since 2001. The majority of articles examined mortality by "any- mention" of the cause of death (87%, n = 377) and assessed pairwise combinations of causes (57%, n = 245). Since 2001, applications of methods emerged to group deaths based on common cause patterns using, for example, cluster analysis (2%, n = 9), and application of multiple-cause weights to re-evaluate mortality burden (1%, n = 5). We describe multiple-cause methods applied to specific research objectives for approaches emerging recently.

CONCLUSION

This review confirms rapidly increasing international interest in the analysis of multiple causes of death and provides the most comprehensive overview, to our knowledge, of methods and practices to date. Available multiple-cause methods are diverse but suit a range of research objectives. With greater availability of data and technology, these could be further developed and applied across a range of settings.

Development of Peptide-based Metallo-β-lactamase Inhibitors as a New Strategy to Combat Antimicrobial Resistance: A Mini-review

Global dissemination of antimicrobial resistance (AMR) not only poses a significant threat to human health, food security, and social development but also results in millions of deaths each year. In Gram-negative bacteria, the primary mechanism of resistance to β-lactam antibiotics is the production of β-lactamases, one of which is carbapenem-hydrolyzing β-lactamases known as carbapenemases. As a general scheme, these enzymes are divided into Ambler class A, B, C, and D based on their protein sequence homology. Class B β-lactamases are also known as metallo-β-lactamases (MBLs). The incidence of recovery of bacteria expressing metallo-β- lactamases (MBLs) has increased dramatically in recent years, almost reaching a pandemic proportion. MBLs can be further divided into three subclasses (B1, B2, and B3) based on the homology of protein sequences as well as the differences in zinc coordination. The development of inhibitors is one effective strategy to suppress the activities of MBLs and restore the activity of β-lactam antibiotics. Although thousands of MBL inhibitors have been reported, none have been approved for clinical use. This review describes the clinical application potential of peptide-based drugs that exhibit inhibitory activity against MBLs identified in past decades. In this report, peptide-based inhibitors of MBLs are divided into several groups based on the mode of action, highlighting compounds of promising properties that are suitable for further advancement. We discuss how traditional computational tools, such as in silico screening and molecular docking, along with new methods, such as deep learning and machine learning, enable a more accurate and efficient design of peptide-based inhibitors of MBLs.

Trends of Ten Leading Causes of Death in Head and Neck Squamous Cell Carcinoma

OBJECTIVE

An understanding of the leading causes of death in patients with head and neck squamous cell carcinoma (HNSCC) would be helpful to inform doctors, patients, and healthcare providers on disease management. This study aimed to comprehensively study the leading causes of death in these survivors.

METHODS

We investigated the trends of risk factors for major causes of death in patients with HNSCC. Causes of death in HNSCC were obtained from the Surveillance, Epidemiology, and End Results registries. We characterized trends in the 5-year cumulative mortality as well as risk factors associated with the ten leading causes of death.

RESULTS

Among 48 297 deaths identified, the ten leading causes were as follows: HNSCC, heart disease, lung cancer, chronic obstructive pulmonary disease (COPD), cerebrovascular disease, pneumonia & influenza, accidents & adverse effects, esophagus cancer, chronic liver diseases, and septicemia. Non-HNSCC deaths surpassed HNSCC deaths 4 years after cancer diagnosis. There was a significant decline in the 5-year cumulative mortality from HNSCC, heart disease, lung cancer, COPD, cerebrovascular disease, and esophagus cancer. The risks of mortality from the ten leading causes varied with patient characteristics.

CONCLUSION

Our findings provide a useful picture of mortality patterns in HNSCC survivors, which might help when planning personalized HNSCC care.

MG53 Protects against Sepsis-Induced Myocardial Dysfunction by Upregulating Peroxisome Proliferator-Activated Receptor-α

Background

The heart is one of the most commonly affected organs during sepsis. Mitsugumin-53 (MG53) has attracted attention in research due to its cardioprotective function. However, the role of MG53 in sepsis-induced myocardial dysfunction (SIMD) remains unknown. The purpose of this study was to explore the underlying mechanism of MG53 in SIMD and investigate its potential relationship with peroxisome proliferator-activated receptor-α (PPARα).

Methods

The cecal ligation and puncture (CLP) model was created to induce SIMD in rats. Protein levels of MG53 and PPARα, cardiac function, cardiomyocyte injury, myocardial oxidative stress and inflammatory indicators, and cardiomyocyte apoptosis were measured at 18 h after CLP. The effects of MG53 on PPARα in SIMD were investigated via preconditioning recombinant human MG53 (rhMG53) and PPARα antagonist GW6471.

Results

The expression of MG53 and PPARα sharply decreased in the myocardium at 18 h after CLP. Compared with the sham group, cardiac function was significantly depressed, which was associated with the destructed myocardium, upregulated oxidative stress indicators and proinflammatory cytokines, and excessive cardiomyocyte apoptosis in the CLP group. Supplementation with rhMG53 enhanced myocardial MG53, increased the survival rate with improved cardiac function, and reduced oxidative stress, inflammation, and myocardial apoptosis, which were associated with PPARα upregulation. Pretreatment with GW6471 abolished the abovementioned protective effects induced by MG53.

Conclusions

Both MG53 and PPARα were downregulated after sepsis shock. MG53 supplement protects the heart against SIMD by upregulating PPARα expression. Our results provide a new treatment strategy for SIMD.