Marine genetic resources (MGR) are a new issue in high seas management. Discussion on how to best manage these resources is currently ongoing at the United Nations, within the context of a proposed treaty on the conservation and sustainable use of marine ‘Biodiversity Beyond National Jurisdiction’ (BBNJ), which is expected to be completed in 2020.But how accurately can states measure the potential economic value of resources that still do not have a clear market application? Developing states in particular already suffer from wealth blindness, where they lack the capacity to properly evaluate the economic value or market potential of their marine resources. This article explores the extent to which wealth blindness forms the backdrop to the current debates over the potential for profitably exploiting marine genetic resources, as well as how this relates to demands for capacity building and technology transfer in the BBNJ treaty negotiation process.

Cataract is the first cause of blindness and the major cause of visual impairment worldwide. Under conditions of global warming, researchers have begun to give attention to the influence of increasing temperature on cataract patients. Our paper aimed to investigate the association between extreme heat and hospital admissions for cataract in Hefei, China. Based on data from the New Rural Cooperative Medical System and National Meteorological Information Center, we used a generalized additive model and a distributed lag nonlinear model to examine the relationship between extreme heat and hospitalizations for cataract, with consideration of cumulative and lagged effects. When current mean temperature was above 28 °C, each 1 °C rise was associated with a 4% decrease in the number of cataract admissions (RR = 0.96, 95% CI = 0.94–0.98). The cumulative relative risk over 11 days of lag was the lowest, which indicated that every 1 °C increase in mean temperature above 28 °C was associated with a 19% decrease in the number of hospital admissions for cataract (RR = 0.81, 95% CI = 0.75–0.88). In subgroup analyses, the negative association between extreme heat and hospital admissions for cataract was stronger among patients who were not admitted to provincial-level hospitals. In conclusion, this paper found that extreme heat was negatively associated with cataract hospitalizations in Hefei, providing useful information for hospitals and policymakers.

Meteorological variables are regarded as risk factors for inflammatory diseases, but their associations with uveitis, one of the leading causes accounting for blindness worldwide with an estimated prevalence of 38–714 cases/100,000 person-years, have not been thoroughly investigated. The present study explored the short-term association between meteorological variables and hospital admissions for uveitis in Hefei City, China. Daily data on uveitis hospital admissions and meteorological variables including mean temperature (MT) (°C), diurnal temperature range (DTR) (°C), and relative humidity (RH) (%), from 2014 to 2020, were collected. A time-series study using generalized linear model combined with distributed lag non-linear model was applied. Totally, 1911 admissions for uveitis including 894 first admissions and 1017 readmissions were reported during the study period. The associations of high percentile of MT (75th, 24.5℃) and low percentile of DTR (25th, 5.4℃) with uveitis admissions were observed to be statistically significant from lag9 (RR = 1.041, 95%CI: 1.002–1.081) to lag11 (RR = 1.053, 95%CI: 1.003–1.104) and lag4 (RR = 1.053, 95%CI: 1.019–1.088) to lag5 (RR = 1.052, 95%CI: 1.020–1.085), respectively. Moreover, a significant association between low percentile of RH (1th, 44%) and uveitis admissions appeared at lag0–8 (RR = 1.869, 95%CI: 1.017–3.434) and lasted until lag0–13 (RR = 2.539, 95%CI: 1.102–5.850) in the cumulative lag structure. Subgroup analyses indicated that males and the young seemed to be more sensitive to high MT exposure, while females appeared to be more vulnerable to low DTR exposure. Interestingly, both the young and the elderly are susceptible to low DTR and low RH exposure. Furthermore, high MT and low DTR exposure were associated with increased risk of first admission for uveitis. In summary, exposure to high-value of MT and low-value of DTR and RH may increase the hospital admissions for uveitis, especially for the status of first admission.

Methanol intoxication is a global problem with serious morbidities and mortalities. Apart from the lifelong disabilities experienced by methanol intoxication survivors, mortality rates of up to 44% of exposed patients have been reported. The aim of the current study was to outline the early findings that could be utilized as effective in-hospital outcome predictors among cases of methanol exposure. Furthermore, the role of the Sequential Organ Failure Assessment (SOFA) score was evaluated as an early in-hospital outcome indicator among patients presented with acute methanol intoxication. A multicenter study including 37 patients diagnosed with acute methanol intoxication and referred to three major poison control centers in Saudi Arabia during the past 3 years (January 1, 2018–January 1, 2021) was conducted. Data including demographics, exposure history, presenting complaints, clinical findings, and laboratory investigation were collected. The patients were scored on Glasgow Coma Scale (GCS), Poison Severity Score (PSS), and SOFA score on admission. Out of the presented patients, 83.8% were alcoholic men. No deaths have been reported, and 51.4% were discharged with unfavorable outcomes, including 29.7% suffered optic neuropathy and blindness, 18.9% showed acute renal impairment, and 10.8% were complicated with respiratory failure. The diastolic blood pressure, anion gap, visual acuity, number of hemodialysis sessions, PSS, duration of Intensive Care Unit (ICU) stay, and SOFA score were all significant organ failure predictors (P < 0.05). However, only the SOFA score showed the best significant prediction on multivariate analysis, with an odds ratio (95% confidence interval) of 0.10 (0.04–0.17) and P = 0.003. At a cutoff of greater than 4.5, the SOFA score could significantly predict unfavorable outcomes with area under curve (AUC) = 0.955, accuracy 89.2%, specificity 94.4%, and sensitivity 84.2%. Early identification of methanol exposed patients at risk is critical and lifesaving. The SOFA score is a substantially useful and early inclusive unfavorable outcome predictor.