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There is an increasing demand for plant-based alternatives by individuals living in the Western world. One of the newer plant-based alternatives is plant-based fish and seafood (PBFs). This study aimed to investigate individuals' opinions and attitudes toward PBFs, as well as evaluate the effect of involvement in the fishing industry on the participants' attitudes. Participants (n = 183) were asked to answer questions about their perceptions of PBFs. Participants believed that PBFs were environment-friendly and were interested in trying PBFs but were concerned about the taste and texture of PBFs. Although participants were likely to try PBFs, they were less likely to add them to their regular diet. After reading messages about the benefits of PBFs in this study, participants' willingness to try PBFs and add PBFs into their regular diet increased. In addition, those who worked in the fishing industry or had high food neophobic scores did not believe that PBFs would taste like conventional fish and seafood products. Future studies should investigate the attitudes of individuals living in different regions and investigate whether exposure to PBFs affects consumer perceptions of the food product. PRACTICAL APPLICATION: Consumer demand for new plant-based products is increasing, but before new products can be released, participants' attitudes and perceptions need to be evaluated. Plant-based alternatives to fish and seafood are a new food product, and therefore, participants' attitudes toward them need to be investigated. It was found that the individuals were more willing to try plant-based fish and seafood. In addition, they were more likely to incorporate them into their diet after reading about the nutritional benefits and sustainability of PBFs., (© 2023 The Authors. Journal of Food Science published by Wiley Periodicals LLC on behalf of Institute of Food Technologists.)

Diabetes mellitus (DM) and chronic kidney disease (CKD) are common in patients with chronic heart failure (HF) and are associated with poor outcomes. However, the impact of multimorbidity due to DM and CKD on outcomes, relative to co-morbidity due to DM alone, has not been well studied in these patients. Of the 7,788 patients with chronic HF in the Digitalis Investigation Group trial, 2,218 had DM. We categorized these patients into those with DM alone (DM-only n = 1,123) and those with both DM and CKD (DM-CKD n = 1,095). Propensity scores for DM-CKD, calculated for each of the 2,218 patients, were used to match 699 pairs of patients with DM-only or DM-CKD. Matched Cox regression models were used to estimate associations between DM-CKD and outcomes. All-cause mortality occurred in 44% (rate 1,648/10,000 person-years) of patients with DM-CKD and 39% (rate 1,349/10,000 person-years of follow-up) of patients with DM-only (hazard ratio when DM-CKD was compared with DM-only 1.34, 95% confidence interval [CI] 1.11 to 1.62, p = 0.003). All-cause hospitalization occurred in 76% (rate 5,799/10,000 person-years) and 73% (rate 4,909/10,000 person-years) of patients with DM-CKD and DM-only, respectively (hazard ratio 1.16, 95% CI 0.99 to 1.36, p = 0.064). Respective hazard ratios for other outcomes were cardiovascular mortality 1.33 (95% CI 1.07 to 1.66, p = 0.010), HF mortality 1.41 (95% CI 1.02 to 1.96, p = 0.040), cardiovascular hospitalization 1.17 (95% CI 0.99 to 1.39, p = 0.064), and HF hospitalization 1.26 (95% CI 1.03 to 1.55, p = 0.026). In conclusion, compared with co-morbidity due to DM alone, the presence of multimorbidity due to DM and CKD was associated with increased mortality and morbidity in patients with chronic HF.

This paper aims to reconcile the use of Palliative Performance Scale (PPSv2) for survival prediction in palliative care through an international collaborative study by five research groups. The study involves an individual patient data meta-analysis on 1,808 patients from four original datasets to reanalyze their survival patterns by age, gender, cancer status, and initial PPS score. Our findings reveal a strong association between PPS and survival across the four datasets. The Kaplan-Meier survival curves show each PPS level as distinct, with a strong ordering effect in which higher PPS levels are associated with increased length of survival. Using a stratified Cox proportional hazard model to adjust for study differences, we found females lived significantly longer than males, with a further decrease in hazard for females not diagnosed with cancer. Further work is needed to refine the reporting of survival times/probabilities and to improve prediction accuracy with the inclusion of other variables in the models.