The Microbiology of Knee Prosthetic Joint Infection and its Influence on Persistent Infection.

Introduction Periprosthetic joint infection (PJI) following total knee arthroplasty (TKA) is a severe complication causing a significant burden. The study aims were to establish the epidemiology of microorganisms in TKA PJI, the rate of persistent infection requiring further surgery, and the risk factors for this. Materials and Methods Microbiological specimens between June 2002 and March 2017 at five regional hospital sites were identified with revision TKA procedures in the National Joint Replacement Registry*. The time between procedures, type of revision strategy and any subsequent further revision operations were collected. Results At minimum 2-years follow-up, 174 revision TKA were identified, with a mean patient age of 69 +/- 11 years. A broad range of pathogens were identified. Fifty cases (29%) had persistent infection requiring at least one further operative procedure, 13 cases required 3 or more. Coagulase-negative Staphylococcus species (CNS) was seen most with failed surgery, polymicrobial infections also posing a significant risk factor. The best chance of a successful PJI surgical strategy was <12 months from primary TKA, with the greatest risk between 3-5 years (p<0.05). Younger age significantly increased the risk of further surgery (p<0.05). Management varied; 103 (59%) debridement, antibiotic therapy with implant retention (DAIR) with further surgery in 29%, 45 (17%) single-stage revision with further surgery in 13%, and 26 (15%) two-stage revision, with further surgery in 12%. Conclusion This study presents the most common causative pathogens for PJI in TKA, and the high rate of persistent infection after initial revision surgery. Risk factors for persistent infection and further revision surgery were polymicrobial and CNS infections, patients who presented between 3-5 years following primary TKA, and younger age. This study therefore raises important risk factors and areas for future research to reduce the burden of multiple operations.

Incidence of multiple organ failure in adult polytrauma patients: A systematic review and meta-analysis.

BACKGROUND: Postinjury multiple organ failure (MOF) is the leading cause of late death in trauma patients. Although MOF was first described 50 years ago, its definition, epidemiology, and change in incidence over time are poorly understood. We aimed to describe the incidence of MOF in the context of different MOF definitions, study inclusion criteria, and its change over time. METHODS: Cochrane Library, EMBASE, MEDLINE, PubMed, and Web of Science databases were searched for articles published between 1977 and 2022 in English and German. Random-effects meta-analysis was performed when applicable. RESULTS: The search returned 11,440 results, of which 842 full-text articles were screened. Multiple organ failure incidence was reported in 284 studies that used 11 unique inclusion criteria and 40 MOF definitions. One hundred six studies published from 1992 to 2022 were included. Weighted MOF incidence by publication year fluctuated from 11% to 56% without significant decrease over time. Multiple organ failure was defined using four scoring systems (Denver, Goris, Marshall, Sequential Organ Failure Assessment [SOFA]) and 10 different cutoff values. Overall, 351,942 trauma patients were included, of whom 82,971 (24%) developed MOF. The weighted incidences of MOF from meta-analysis of 30 eligible studies were as follows: 14.7% (95% confidence interval [CI], 12.1-17.2%) in Denver score >3, 12.7% (95% CI, 9.3-16.1%) in Denver score >3 with blunt injuries only, 28.6% (95% CI, 12-45.1%) in Denver score >8, 25.6% (95% CI, 10.4-40.7%) in Goris score >4, 29.9% (95% CI, 14.9-45%) in Marshall score >5, 20.3% (95% CI, 9.4-31.2%) in Marshall score >5 with blunt injuries only, 38.6% (95% CI, 33-44.3%) in SOFA score >3, 55.1% (95% CI, 49.7-60.5%) in SOFA score >3 with blunt injuries only, and 34.8% (95% CI, 28.7-40.8%) in SOFA score >5. CONCLUSION: The incidence of postinjury MOF varies largely because of lack of a consensus definition and study population. Until an international consensus is reached, further research will be hindered. LEVEL OF EVIDENCE: Systematic Review and Meta-analysis; Level III.

The COVID-19 pandemic and trade in agricultural products.

In this study, we develop a structural gravity model to analyse the effects of the ongoing COVID-19 pandemic on international trade in food and agriculture. Using detailed data on trade flows, we estimate the trade impacts of the pandemic for major sectors in food and agriculture. Supply-side impacts on trade caused by reductions in labour tend to be largest in labour-intensive sectors such as meat processing and processed fruit and vegetables. The supply-side export effects are dwarfed by the demand-side import effects, as the recessionary impact of the pandemic drives significant decreases in imports, largely in processed goods and labour-intensive commodities.

The Effects of COVID-19 on Fruit and Vegetable Production.

COVID-19 has had unprecedented effects on the US economy, in large part because of its effects on workers. Within food and agriculture, these effects pose the greatest threat to the production of labor-intensive commodities-in particular, fruits and vegetables, the production of which tends to require large numbers of workers for harvesting and packing. We econometrically estimate the effects of COVID-19 on fruit and vegetable production as the US agricultural labor supply is adversely affected by this pandemic. The major crop losses include $16 million in lettuce, $5 million in apples, and $4 million in grapes.