Management Challenges of Cultural Property in Nigeria

The thrust of this article is to fill the lacuna in extant literature on the need to appraise the management of traditional/cultural properties in Ile-Ife (historical source of Yoruba race) in Nigeria and the need to ensure sustainability in order to register the values of the cultural identity for global appreciation. To accomplish the aim, questionnaires were administered on the stakeholders: traditional royal stools, museum staff and families of ancient priests (owners of sacred sites) to elicit information. The data obtained were analyzed using simple descriptive and inferential statistics. The study confirmed that the special properties' (sacred heritages) owners and royal stool (traditional rulers) are the most participating stakeholders in the management of cultural properties in Yorubaland. Also, there are three most influencing factors; lack of effective management plans/strategies, lack of continuity in the cultural heritage sustainability and lack of full participation of all the stakeholders in the sustainability of cultural heritages. It implies that the posterity, sustainability of cultural heritages is anchored on effective management strategy and the gradual neglect of special properties such as cultural heritages is tantamount to the loss of value and economic returns which could really create wider opportunities in the emerging economies

Plasma Free Hemoglobin Is an Independent Predictor of Mortality among Patients on Extracorporeal Membrane Oxygenation Support

Hemolysis is common in all extracorporeal circuits as evident by the elevated plasma free hemoglobin (PFHb) level. We investigated whether increased hemolysis during extracorporeal membrane oxygenation (ECMO) is an independent mortality predictor.We performed a retrospective observational study of consecutive subjects who received ECMO at a tertiary care facility from 2007-2013 to investigate independent predictors of in-hospital mortality. We examined variables related to patient demographics, comorbidities, markers of hemolysis, ECMO characteristics, transfusion requirements, and complications. 24-hour PFHb > 50 mg/dL was used as a marker of severe hemolysis.154 patients received ECMO for cardiac (n = 115) or pulmonary (n = 39) indications. Patients' mean age was 51 years and 75.3% were males. Compared to nonsurvivors, survivors had lower pre-ECMO lactic acid (p = 0.026), lower 24-hour lactic acid (p = 0.023), shorter ECMO duration (P = 0.01), fewer RBC transfusions on ECMO (p = 0.008) and lower level of PFHb 24-hours post ECMO implantation (p = 0.029). 24-hour PFHb > 50 mg/dL occurred in 3.9 % versus 15.5% of survivors and nonsurvivors, respectively, p = 0.002. A Cox proportional hazard analysis identified PFHb > 50 mg/dL 24-hours post ECMO as an independent predictor of mortality (OR= 3.4, 95% confidence interval: 1.3 - 8.8, p = 0.011).PFHb > 50 mg/dL checked 24-hour post ECMO implantation is a useful tool to predict mortality. We propose the routine checking of PFHb 24-hours after ECMO initiation for early identification and treatment of the cause of hemolysis

Next-generation sequencing for research and diagnostics in kidney disease

The advent of next-generation sequencing technologies has enabled genetic nephrology research to move beyond single gene analysis to the simultaneous investigation of hundreds of genes and entire pathways. These new sequencing approaches have been used to identify and characterize causal factors that underlie inherited heterogeneous kidney diseases such as nephronophthisis and congenital anomalies of the kidney and urinary tract. In this Review, we describe the development of next-generation sequencing in basic and clinical research and discuss the implementation of this novel technology in routine patient management. Widespread use of targeted and nontargeted approaches for gene identification in clinical practice will require consistent phenotyping, appropriate disease modelling and collaborative efforts to combine and integrate data analyses. Next-generation sequencing is an exceptionally promising technique that has the potential to improve the management of patients with inherited kidney diseases. However, identifying the molecular mechanisms that lead to renal developmental disorders and ciliopathies is difficult. A major challenge in the near future will be how best to integrate data obtained using next-generation sequencing with personalized medicine, including use of high-throughput disease modelling as a tool to support the clinical diagnosis of kidney diseases